1217 results about "Rice grain" patented technology

A batch feeding-based multi-stage screening device for granular materials, comprising a housing (1). A quantification assembly (2) is installed at the top of the housing (1), a dust removal assembly (3) is installed outside the housing (1), and an anti-blocking assembly (6) is installed inside the housing (1); the dust removal assembly (3) comprises a mounting plate (305) and a fixed column (304); the mounting plate (305) and the fixed column (304) are both fixedly connected to the outside of the housing (1), a rack plate (306) is slidably connected to the outer surface of the mounting plate (305), a movable rod (311) is fixedly connected to the bottom end of the rack plate (306), a rubber piston (312) is fixedly connected to the bottom end of the movable rod (311), and a filter box (301) is fixedly connected to the outside of the housing (1). A large amount of dust on the surface of rice grains can be adsorbed, filtered and removed by means of the dust removal assembly, thereby improving the quality of rice.

The invention relates to the technical field of polished rice rate detection, in particular to a rice quality index whole-process detection method and device, and the method comprises the following steps: carrying out the image recognition of each detection link according to the rice quality index detection whole process, and carrying out the image recognition of each detection link according to the image collected by each link; and respectively calculating an effective feeding grain index, an imperfect grain ratio index, a rice grain quality classification result, a head rice rate index and a yellow grain ratio. The position and form of each rice grain are recognized through high-precision image processing, effective feeding grain indexes input into a rice hulling chamber are screened, infrared transmission intensity detection of brown rice directly reflects the structural characteristics of the rice grains, the real-time quality evaluation method optimizes the conversion process from the brown rice to polished rice, optimization of the rice quality and yield is ensured, and the quality of the rice grains is improved. The real-time monitoring on the surface brightness and texture change in the milling process is beneficial to adjusting the milling process, the product quality is optimized through dynamic data analysis, and the appearance uniformity is improved.

The invention discloses an intelligent control method, device and equipment for a rice mill and a storage medium, and relates to the technical field of grain processing.The method comprises the steps that a digital twinning system of the rice mill is constructed, the digital twinning system comprises a physical layer, a virtual layer and an intelligent service layer, and the virtual layer comprises a simulation model based on abrasive belt-rice grain contact dynamics; acquiring operation data of the rice mill through a physical layer, and performing space-time alignment on the operation data and the simulation model to obtain target data; predicting the change trend of the broken rice rate in the rice milling process based on the target data and the simulation model, and generating an initial parameter combination of the abrasive belt pressure, the rotating speed and the gap of the whitening chamber; iteratively updating the initial parameter combination through a reinforcement learning algorithm of an intelligent service layer to obtain a target parameter combination; and adjusting an execution mechanism of the rice mill according to the target parameter combination to complete intelligent control of the rice mill. According to the rice milling device, the broken rice rate in the rice milling process can be reduced, and intelligent control is achieved.

The invention relates to the technical field of screening, in particular to a dynamic sorting method and system based on multistage screening and airflow compensation. The method comprises the steps that 1, space phase screening pretreatment is conducted, specifically, in a rotary type multidirectional screening channel, white rice is made to rotate through a flow guide structure, the included angle between the long axis direction of rice grains and the long edge of a screening hole is obtained in real time, and the rotating angular speed of a screen is dynamically adjusted according to the included angle; 2, mass-airflow coupling sorting is carried out; step 3, performing deformation feedback optical sorting; 4, energy field cooperative control; and 5, dynamic convergence optimization: collecting a screen mesh pore passing rate, a rice grain group distribution entropy value and system total energy consumption power, constructing a state space, and adjusting vibration frequency, airflow pressure and light intensity parameters by adopting a stability judgment algorithm. According to the method, the screening precision is improved, the energy consumption is reduced, the production efficiency is improved, and the method has remarkable practical application value for the grain processing industry.

The invention discloses an intelligent fish and rice symbiosis ecological control system and method based on the Internet of Things. The system comprises a fish breeding area, a rice irrigation area and a circulating water channel arranged between the fish breeding area and the rice irrigation area. The central control platform is used for collecting a dissolved oxygen (DO) value and a pH value in a water body in real time through a plurality of water quality sensors configured in the system; the dissolved oxygen DO value and the pH value are water quality data; and analyzing the dissolved oxygen DO value, generating a water quality regulation and control instruction, and regulating the oxygenation equipment according to the water quality regulation and control instruction. The automatic buffering agent adding device is used for automatically adding a buffering agent according to an instruction sent by the central control platform; the oxygenation equipment comprises an aeration device and is used for adjusting the content of dissolved oxygen in the water body. According to the intelligent fish and rice symbiosis ecological control system based on the Internet of Things, the fish culture area, the rice irrigation area and the circulating water channel are integrated, effective management and control of the fish and rice symbiosis ecological system are achieved, the water body environment is optimized, and the symbiosis benefits of fishes and rice are improved.

The invention provides a rice endophyte for promoting rice growth and reducing cadmium as well as a preparation method and application of the rice endophyte, and relates to the field of environmental microbiology and agricultural microorganisms. The rice endophyte is stenotrophomonas, is named as Stentrophomonas sp.R5, is preserved in the China Center for Type Culture Collection, the address is Wuhan University, Wuhan, China, the postcode is 430072, the preservation number is CCTCC NO: M 20231758, and the preservation date is September 20, 2023. The rice endophyte not only has the capabilities of producing IAA, dissolving phosphorus, producing siderophores and the like for promoting the growth and development of rice, but also has an efficient inhibition effect on absorption and transportation of cadmium in the rice, particularly, the cadmium reduction amplitude of mature rice grains reaches up to 57.69%, and the rice endophyte has little influence on microbial communities in a soil environment, and has a good application prospect. Excessive interference is not caused, and conversion of available nutrients in the soil is promoted.

The invention relates to the technical field of rice grain detection, in particular to a rice grain mixed-planting rapid nondestructive detection method based on hyperspectral imaging, which comprises the following steps: S1, collecting a rice hundred-grain board hyperspectral image, carrying out preprocessing and region-of-interest segmentation, and extracting a full-wave band spectrum grayscale image of a target region; s2, constructing a multi-channel attention mechanism network model suitable for nondestructive testing of mixed rice grains, and inputting the full-wave band spectrum grayscale image as a data set for classification training; according to the rapid nondestructive testing method for mixed planting of the rice grains based on hyperspectral imaging, spectrum and spatial characteristics of the rice grains are fused, spectrum and spatial characteristic information of the rice grains is enhanced through a multi-channel attention mechanism and a self-attention mechanism module, the classification precision of the rice grains is further helped to be improved, and the detection accuracy of the mixed planting of the rice grains is improved. According to the multi-channel attention mechanism network model provided by the invention, a segmentation module and a classification module are fused, so that the parameter quantity during high-resolution image training can be reduced.

The invention belongs to the field of gene engineering, and relates to a rice BRW1 gene and application thereof. The cDNA (complementary deoxyribonucleic acid) sequence of the rice BRW1 gene is shown as SEQ ID NO.1, and the amino acid sequence of the RNA binding protein coded by the rice BRW1 gene is shown as SEQ ID NO.2. The invention discloses the rice RNA binding protein gene BRW1 and the protein coded by the rice RNA binding protein gene BRW1. The rice BRW1 gene controls the grain weight of grains, the thousand grain weight of a knockout mutant of the gene is remarkably increased, and meanwhile the grain length and the grain width are increased. By mutating the BRW1 gene in the invention, the grain weight of rice grains can be increased, which indicates that the genetic improvement of the grain weight and grain shape of rice is facilitated by using the gene.

The invention discloses a processing method for reducing the broken rice rate of commercial rice, which comprises the following steps: S1, an unhulled rice pretreatment stage: S1a, a multi-stage linkage impurity removal process is adopted, and large impurities, light impurities, metal impurities and stones in unhulled rice are removed through combination of classified screening, airflow separation, magnetic separation and specific gravity stone removal, so that the impurity removal rate is greater than or equal to 99%; s1b, on the basis of a dynamic adaptation model of rice physical characteristics and rice hulling parameters, rice moisture and hardness data are collected in real time through a first detection device, the rice hulling flow and the inter-roller pressure are calculated and adjusted through a control unit, and closed-loop control is achieved; s2, carrying out a color sorting and polishing stage; s3, carrying out a rice milling regulation and control stage; and S4, entering a vacuum packaging stage.

The invention relates to the technical field of gene engineering, and discloses an METS2 gene for regulating and controlling the grain shape of rice, a protein and application of the METS2 gene, and the nucleotide sequence of the METS2 gene is shown as SEQ ID NO.1. The invention further discloses application of the METS2 gene in regulation and control of the rice grain shape. According to the METS2 gene for regulating and controlling the rice grain shape, the protein and the application of the METS2 gene, the METS2 gene is overexpressed in a rice plant, short-grain-shaped rice can be obtained, the short-grain-shaped rice is not prone to breakage in the processing process, and the quality of a finished product is high; a basis is provided for further clarification of the molecular mechanism of the rice grain shape, and new gene resources and breeding resources are provided for rice breeding.

The invention relates to a phase perception residual learning-based rice drying moisture content fusion prediction method, which comprises the following steps of: acquiring multi-dimensional data in a rice drying process, preprocessing, dividing three drying phases based on a change rate of relative humidity of waste gas, and continuously optimizing; an improved Page model is constructed, drying coefficients k and n are fitted in stages, k is associated with the hot air temperature through an Arrhenius formula, n is associated with the hot air temperature through a quadratic equation, and a physical baseline predicted value is generated after parameters are optimized through a deep bed test; calculating a residual error between the actual moisture content and the physical baseline, and training the LSTM network by taking the residual error as a target to enable the LSTM network to learn nonlinear features which cannot be described by a physical model; and fusing the physical baseline of the improved Page model and the residual error predicted by the LSTM to obtain a final fusion prediction result. The method not only ensures the physical rationality of the prediction result, but also improves the precision and generalization ability, and is suitable for intelligent regulation and control of the rice drying process.

Aiming at the problems of low efficiency, strong subjectivity, insufficient modeling ability, complex hyperspectral data noise, weak waxiness spectrum difference and the like of a traditional rice grain waxiness discrimination method, the invention provides a hyperspectral rice grain waxiness discrimination method based on multi-branch collaborative modeling. The method comprises the following steps: S1, acquiring glutinous and non-glutinous rice grain images by using a hyperspectral imaging system to obtain spectral data; s2, preprocessing spectral data through a combined method of SG smoothing, an asymmetric weighted penalty least square method and multivariate scatter correction to reduce noise and interference; s3, constructing a multi-branch modeling architecture which comprises a CNN local feature extraction module, an SRU spectrum sequence modeling module and a HorNet global high-order modeling module, and outputting a discrimination result through a classifier after multi-branch features are subjected to fusion and pooling attention weighting; and S4, evaluating the performance. According to the method, high-precision lossless discrimination of the waxiness is realized, and a technical support is provided for germplasm screening and quality evaluation in rice breeding.

The invention relates to the technical field of gene engineering, in particular to OsSULTR3; 1 protein and the coding gene thereof are applied to cultivation of selenium-rich plants. According to the invention, the OsSULTR3 is disclosed for the first time; 1 gene has the function of increasing the selenium content of rice, and OsSULTR3; 1 overexpression results in increase of the selenium content of rice grains. A new direction is provided for breeding of selenium-rich plants such as rice and the like and preparation of transgenic plants, the selenium content in the plants such as rice and the like can be remarkably improved by constructing and transforming the transgenic plants of the gene, the nutritional quality of the plants can be improved, and the gene has a wide application prospect.

The invention relates to the technical field of soil heavy metal pollution remediation, in particular to a heavy metal cadmium pollution remediation neural network model, which comprises the following steps: S1, acquiring and preprocessing environmental factor data; s2, constructing a cadmium content prediction model: establishing an initial model structure, carrying out model training based on the preprocessed environmental factor data, calculating the contribution degree of each environmental factor in the model by utilizing an interpretability analysis method, and constructing an optimization objective function with prediction precision and model complexity by taking the environmental factor contribution degree as an interpretability constraint; performing iterative optimization on the model structure based on the optimization objective function to obtain a cadmium content prediction model; and S3, predicting the cadmium content of the rice based on the cadmium content prediction model, and optimizing agricultural measures based on a prediction result. By means of the scheme, accurate prediction and scientific explanation of the cadmium content of the rice are achieved, and the practicability of the model in farmland heavy metal cadmium pollution remediation is improved.

The invention discloses a serratia marcescens strain and an application thereof. Belongs to the technical field of agricultural microorganism and heavy metal pollution control. The serratia marcescens separated from the rhizosphere of the rice is inoculated to the rhizosphere of the rice, is used for in-situ remediation of polluted soil rice planting, can be effectively colonized at the root of the rice, and has high safety. Manganese and iron ions in the soil can be adsorbed and chelated, and the formation of an iron-manganese adhesive film on the surface of a rice root is enhanced, so that the Cd element is prevented and controlled from entering plant roots and overground parts; the absorption of manganese and iron in the polluted soil can be increased, the growth of the rice is promoted, and the yield of the rice is increased. And the standard-reaching safe production of rice Cd in the moderately and mildly polluted soil is realized, and the method has a very good application prospect.

The invention discloses a grain specific promoter in the early stage of rice filling and application thereof, the promoter is named as proASP1, and the nucleotide sequence of the promoter is shown as SEQ ID NO: 1. The promoter has highly strict spatio-temporal expression specificity, the activation expression of the promoter is only limited in grains in the early stage of rice filling (4-12 days after flowering), especially the expression of genes is efficiently driven in endosperm and aleurone layers, and the expression is not leaked in other tissues such as roots, stems, leaves, leaf sheaths and glumes and grains in the middle and later stages of filling. The invention provides a basic and precious molecular tool for gene function research, quality improvement (such as protein and starch synthesis regulation) and bioreactor development in a key window period of rice grain development, and has important scientific research and application values.

The invention belongs to the field of fertilizers, and particularly relates to a foliar fertilizer with high amino acid synthesis efficiency and a preparation method thereof.The preparation method comprises the steps that spermidine is taken to be subjected to formic acid esterification modification, and formic acid esterification spermidine is obtained; the preparation method comprises the following steps: hydrolyzing 2, 4-epibrassinolide to obtain carboxylated brassinolide; under the action of Tween, carboxylated brassinolide and formic acid esterified spermidine are combined to form a fertilizer base full of emulsified liquid drops; and adding other nutrients to obtain the foliar fertilizer. The leaf fertilizer for increasing the amino acid content of rice can increase the content of amino acids, especially lysine, in grains on the premise of increasing the yield of rice, and nitrogen absorption and utilization of the rice grains are improved.

The invention relates to a gene GL8 for controlling grain shape, appearance quality or / and yield of rice. The gene has (a) a nucleotide sequence as shown in SEQ ID No: 1; and (b) a nucleotide sequence which is generated by adding, substituting or deleting one or more basic groups from the nucleotide sequence as shown in SEQ ID No: 1 and is used for coding a functional protein for controlling the grain shape, the appearance quality and the yield of rice. The invention belongs to the technical field of gene engineering. By overexpressing the gene, the grain shape, appearance quality and yield of rice can be regulated and controlled.

The invention relates to the technical field of intelligent sorting, in particular to a full-automatic rice impurity removing method and device based on machine recognition, and the method comprises the following steps: extracting rice particle reflection intensity and analyzing a boundary trajectory, screening a mutation region to generate a recognition section, judging the consistency of recognition quality and weight error directions, and generating an error sample set. And performing statistics on disturbance frequency to generate a deformation mark, comparing numbers, extracting coordinates to generate a list, calculating a response difference, and outputting a rejection identification sequence. According to the invention, through comparison of reflection boundary trajectory abrupt change, focusing of a spectrum abnormal section, improvement of particle difference positioning precision, combination of consistency judgment of image identification errors and weight deviation, enhancement of abnormal particle screening accuracy, tracking of contour disturbance frequency identification of deformation behaviors, and enhancement of dynamic feature identification, the accuracy of abnormal particle identification is improved. An operation target is positioned based on multi-source feature intersection, orbital offset and air injection response time sequence calibration are combined, it is guaranteed that removal actions are coordinated and consistent, and efficient recognition and accurate removal of the mixed rice particles are achieved.

The invention discloses a milling process control method based on reinforcement learning, which comprises the following steps: collecting and processing multi-source process data in real time, normalizing and extracting features, and forming state feature vectors; the state feature vectors are input into a DSAC-T reinforcement learning controller, the opening degree of a feeding valve and the rotation speed adjustment of a main shaft are used as action spaces, a reinforcement learning strategy network is constructed, and a process drift online detection sub-module is integrated; training a controller to maximize the rice yield, minimize the broken rice rate and energy consumption, and combining the process safety index to obtain an optimal strategy; deploying the trained controller in an actual scene, and outputting an adjustment instruction to implement closed-loop control; when the actual rice grain size or broken rice rate exceeds the model prediction deviation, online incremental learning is automatically triggered, and control parameters are optimized; the intelligent, self-adaptive and safe control of the rice milling process is realized. According to the method, adaptive optimization control of the rice milling process is realized, and the method has efficient response capability to dynamic disturbance and abnormal states.

The invention relates to the field of plant genetic engineering, in particular to a rice OsDNG1 protein, a coding gene and application of the rice OsDNG1 protein to regulation and control of grain shape and grain weight. According to the invention, the OsDNG1 gene is knocked out through a CRISPR / Cas9 gene editing technology, so that the length of rice grains can be increased by 4.10%-4.62%, and the thousand grain weight can be increased by 10.86%-11.49%. And if the gene is over-expressed, the grain length is reduced by 1.14%-1.32%, and the thousand grain weight is reduced by 8.24%-8.56%. In the re-sequenced indica rice variety, the indica rice variety without the OsDNG1 gene type is longer in grain length and larger in length-width ratio compared with the variety with the gene type. The invention not only provides a key target for analyzing the molecular mechanism of rice grain morphogenesis, but also provides important theoretical basis and technical support for molecular design breeding of rice grain shape and grain weight, and has remarkable agricultural application value.

The invention discloses an application of a rice yellow-like stripe protein gene OsYSL18. The sequence of the yellow-like stripe protein gene OsYSL18 is as shown in SEQ ID NO. 1. The gene can be applied in multiple aspects of preventing and controlling the cadmium element from being transferred to the overground part of the rice, reducing the cadmium content of rice grains and the like. The biological function of the yellow stripe-like protein gene OsYSL18 in rice is found through a large number of experiments, and after the gene is knocked out, the cadmium content of the overground part of a rice seedling subjected to cadmium treatment is remarkably reduced; after the rice is mature, the grain cadmium content is reduced by more than 85%.

The invention discloses a production area rice quality evaluation method based on multi-dimensional index fusion, and the method comprises the steps: determining a subjective weight through employing an analytic hierarchy process, calculating an objective weight through combining with a CRITIC method, and obtaining a comprehensive weight through multiplication integration normalization; establishing an index grading standard based on a sample data quantile, calculating the membership degree of each index by using a reduced half trapezoidal distribution function, and constructing a fuzzy relation matrix; and finally, synthesizing the comprehensive weight and the fuzzy relation matrix, and judging the rice quality grade according to a maximum membership degree principle. Compared with an existing evaluation criterion, the evaluation method comprehensively considers the subjective weight and the objective weight of each index, the rice quality can be evaluated more accurately, and therefore the rice grade is scientifically judged.

The invention provides application of a rice grain chalkiness regulation gene Chalk13, and belongs to the technical field of biology. According to the application, the rice grain chalkiness regulation and control gene Chalk13 is used for regulating and controlling formation of rice grain chalkiness, the nucleotide sequence of the rice grain chalkiness regulation and control gene Chalk13 is shown as SEQ ID NO: 1 in a sequence table, and the nucleotide sequence of a coding region of the rice grain chalkiness regulation and control gene Chalk13 is shown as SEQ ID NO: 2 in the sequence table. The invention provides an application of a rice grain chalkiness regulation and control gene Chalk13. The rice grain chalkiness regulation and control gene Chalk13 is used for regulating and controlling the chalkiness degree and the chalkiness rate of rice grains.

The invention discloses a preparation method of black coat red yeast rice. The method comprises the following steps: steaming long-shaped rice serving as a raw material into medium-well rice, mixing black-skin red yeast seed powder and red yeast mother slurry to obtain yeast seed rice, spreading the yeast seed rice on a ventilated yeast bed, carrying out front, main and rear three-stage fermentation culture on the yeast seed rice, and adjusting the temperature and humidity of a fermentation product according to the modes of gradient color of rice grains obtained by fermentation culture of the yeast seed rice, yeast turning, spreading and three-time yeast liquid spraying. The black-coat red yeast rice is fermented and cultured, and the black-coat red yeast rice which is stable in quality and high in saccharifying power and fermenting power and is prepared by a new process is obtained through a warm-air large-ventilation-quantity drying technology. The brewed black coat red koji wine has the advantages of being rich in fragrance, good in flavor and high in wine yield. The new production process of the black-skin red yeast rice reduces the pollution of aspergillus niger to the environment and protects the health of workers.

The invention discloses a full-automatic crushing and detecting method and system for grain particle materials, and relates to the technical field of crushing and detecting. The method comprises the following steps that 1, whether first unprocessed grains are unhulled rice or not is judged, if the first unprocessed grains are not the unhulled rice, the next step is executed, otherwise, if the first unprocessed grains are the unhulled rice, the step 3 is executed, 2, volume fixing treatment is conducted on the first unprocessed grains, the step 4 is executed, 3, volume fixing treatment is conducted on the unhulled rice, the unhulled rice is hulled through a rice huller module, and brown rice is obtained; step 4, judging whether the moisture content of unhulled brown rice exceeds 15% or not, if the moisture content does not exceed 15%, skipping to step 7, if the moisture content exceeds 15%, executing the next step, and if the moisture content does not exceed 15%, executing step 4, and if the moisture content does not exceed 15%, executing step 5; according to the invention, automation and unmanned operation of the whole process of crushing, quantitative weighing, liquid adding, oscillation extraction, separation, pipetting, dilution, incubation and physicochemical index detection of a sample can be realized.

The invention discloses a planting method for increasing the content of anthocyanin in purple rice grains, which comprises the following specific steps: sowing purple rice seeds from May 20th to May 30th every year, and setting the nitrogen application amount to be 24kg N / mu and the planting density to be 1.58-2.22 million holes / mu at the same time. According to the method, the sowing time, the nitrogen application amount and the planting density are precisely and cooperatively regulated and controlled, resource distribution in the key period of purple rice anthocyanin synthesis is directionally optimized, the content of paeoniflorin and cyanidin in grains is remarkably increased, meanwhile, yield stability and efficient resource utilization are both considered, and through cultivation technology innovation which is low in cost and easy to popularize, the yield of purple rice is increased. The multi-target of directional enhancement of functional components of purple rice, stable yield and high resource efficiency is achieved, a technical normal form is provided for green transformation of functional agriculture, remarkable economic, ecological and social benefits are achieved, and the important requirement for green and high-efficiency development of functional agriculture is met.

The invention relates to the technical field of grain processing, and particularly provides a rice raw material drying system for rice processing. Comprising a cylindrical bin, a plurality of separation discs, a plurality of drying bins and a driving mechanism for driving the plurality of drying bins to synchronously rotate; the drying stock bin comprises a stock bin supporting plate which is in lap joint with the lower separation disc, a plurality of annular inserting grooves are fixed to the stock bin supporting plate, floating material chambers are movably inserted into the annular inserting grooves, and a collecting hopper is assembled among the top ends of the floating material chambers in a sliding fit mode; the collection hopper is rotationally mounted at the bottom of the upper separation disc through a bearing and dispersedly guides grains into each floating material chamber; according to the drying system, the effective drying time of the grains is greatly prolonged, the defect that a drying channel is short is overcome, and the drying effect of the grains is guaranteed; in addition, heat source distribution is optimized, the effects of airflow flowing and timely water vapor discharging are enhanced, the effective utilization rate of a heat source is increased, and relative energy consumption is reduced.

The invention provides a remote monitoring and intelligent prevention and control system and method for rice diseases and insect pests. The remote monitoring and intelligent prevention and control system for rice diseases and insect pests comprises a monitoring module used for collecting environment data, health data and image data of rice and monitoring the growth environment of the rice in real time; the data transmission module is used for transmitting the data acquired by the monitoring module to the data processing module; and the data processing module is used for processing the data acquired by the monitoring module. According to the remote monitoring and intelligent prevention and control system and method for the rice diseases and insect pests, accurate, efficient and green prevention and control of the rice diseases and insect pests are achieved through the mode of combining remote monitoring and intelligent prevention and control, peasant households or technicians do not need to frequently go to the field edge for manual patrol through the remote monitoring function, the labor cost is greatly saved, and the working efficiency is improved. Due to automatic operation of the intelligent prevention and control equipment, the tedious degree and the labor intensity of manual operation are reduced, and the efficiency of prevention and control work is improved.

The invention belongs to the technical field of microbial fermentation and biological agriculture, and discloses a soil remediation fungicide as well as a preparation method and application thereof. The preparation method comprises the following steps: activating bacillus megatherium Z101, inoculating the activated bacillus megatherium Z101 into fermentation liquor containing rice straw powder, carrying out fermentation culture, and carrying out vacuum spray drying on fermentation mixed liquor after fermentation is completed, so as to obtain soil remediation bacterium powder; or further mixing the soil remediation bacterium powder with auxiliary materials and water, and granulating to obtain the soil remediation bacterium granules. The application method comprises the following steps: in a rice planting stage, applying the soil remediation fungicide and an inorganic fertilizer together to remedy rice field soil and promote rice growth. The soil remediation fungicide prepared by fermentation culture of the bacillus megatherium Z101 has remarkable advantages in the aspects of rice yield increase, soil pH value increase and physicochemical property improvement, and a new application way is provided for the bacillus megatherium Z101.